Course Description

The DMAIC Framework: Analyze, Improve, and Control Phase

The course will teach you the competencies and essential skills required to pass the American Society for Quality (ASQ) Certified Six Sigma Green Belt (CSSGB) exam. This course focuses specifically on the last three phases of the define, measure, analyze, improve, and control (DMAIC) framework and will enable you to analyze the root causes of existing issues, implement solutions, and ensure the process’s sustainability. You will gain insight into data analysis techniques such as hypothesis testing and regression analysis and be able to develop control plans for process improvement.

By the end of the course, you will be able to:

– Describe the importance of analyzing data and identifying root causes of problems in the process.

– Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process.

– Develop control plans and strategies for sustaining process improvements.

– Use control charts and statistical process control techniques to monitor process performance. The course offers practical exposure with a peer-graded project that enables you to apply your knowledge in real-world scenarios. The course is for individuals who wish to analyze and solve quality problems and are working in process improvement teams or involved with Six Sigma, lean, or other quality improvement projects.

https://www.coursera.org/learn/the-dmaic-framework-analyze-improve-and-control-phase

Provider

Coursera

Target

• Quality professionals
• process improvement specialists
• engineers
• managers preparing for the ASQ Six Sigma Green Belt exam.

Sector

• Quality Management
• Manufacturing
• Operations
• Business Process Improvement

Area

• Six Sigma (DMAIC)
• Process Optimization
• Statistical Analysis
• Quality Control
• Continuous Improvement

Method

Online

Certification

Yes

Duration

8 hours to complete

Assessment

Yes

Learning Outcomes

• Describe the importance of analyzing data and identifying root causes of problems in the process.
• Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process.
• Develop control plans and strategies for sustaining process improvements.
• Use control charts and statistical process control techniques to monitor process performance.
• Describe the importance of analyzing data and identifying root causes of problems in the process.
• Apply data analysis techniques such as hypothesis testing, regression analysis, and correlation analysis to identify the issues in your process.
• Develop control plans and strategies for sustaining process improvements.
• Use control charts and statistical process control techniques to monitor process performance.

Learning Content

• Module 1: Analyze: Exploratory data analysis (EDA)
• Module 2: Analyze: Hypothesis testing
• Module 3: Improve: Design of experiments (DOE) and control charts
• Module 4: Control: Sustain improvements and control the process
• Module 5: Peer Review Assignment